View in EDS

Resolving the spatiotemporal distribution of substances in fluids using a deep learning method.

Saved in:
Bibliographic Details
Title: Resolving the spatiotemporal distribution of substances in fluids using a deep learning method.
Authors: Zhou, Zaiyang1, Kuai, Yu2, Huang, Kailin3, van Maren, Dirk Sebastiaan2,4, Pang, Jialin1, Wang, Zhenwu1, Zhu, Yonghui5, Ge, Jianzhong1, jzge@sklec.ecnu.edu.cn
Source: Engineering Applications of Computational Fluid Mechanics; Dec2025, Vol. 19 Issue 1, p1-21, 21p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 189915437
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Resolving the spatiotemporal distribution of substances in fluids using a deep learning method.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Zhou%2C+Zaiyang%22">Zhou, Zaiyang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Kuai%2C+Yu%22">Kuai, Yu</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Huang%2C+Kailin%22">Huang, Kailin</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22van+Maren%2C+Dirk+Sebastiaan%22">van Maren, Dirk Sebastiaan</searchLink><relatesTo>2,4</relatesTo><br /><searchLink fieldCode="AU" term="%22Pang%2C+Jialin%22">Pang, Jialin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Zhenwu%22">Wang, Zhenwu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhu%2C+Yonghui%22">Zhu, Yonghui</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AU" term="%22Ge%2C+Jianzhong%22">Ge, Jianzhong</searchLink><relatesTo>1</relatesTo>, <i>jzge@sklec.ecnu.edu.cn</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Engineering+Applications+of+Computational+Fluid+Mechanics%22">Engineering Applications of Computational Fluid Mechanics</searchLink>; Dec2025, Vol. 19 Issue 1, p1-21, 21p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189915437
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/19942060.2025.2564761
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 1
    Titles:
      – TitleFull: Resolving the spatiotemporal distribution of substances in fluids using a deep learning method.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhou, Zaiyang
      – PersonEntity:
          Name:
            NameFull: Kuai, Yu
      – PersonEntity:
          Name:
            NameFull: Huang, Kailin
      – PersonEntity:
          Name:
            NameFull: van Maren, Dirk Sebastiaan
      – PersonEntity:
          Name:
            NameFull: Pang, Jialin
      – PersonEntity:
          Name:
            NameFull: Wang, Zhenwu
      – PersonEntity:
          Name:
            NameFull: Zhu, Yonghui
      – PersonEntity:
          Name:
            NameFull: Ge, Jianzhong
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 19942060
          Numbering:
            – Type: volume
              Value: 19
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Engineering Applications of Computational Fluid Mechanics
              Type: main
ResultId 1